Earlier quoted context omitted.
>A large number of natural distributions follow a power-law distribution. This is surprisingly debatable. People like to find power-law/scale-free distributions because it implies a neat generative story, but a lot of the "evidence" for power-law distributions is pretty weak. For example, you cannot just show that a log-log plot is linear--lots of other distributions can produce similar plots. Clauset, Shalizi, and N…
Agreed. The old saying is "anything looks linear when plotted on a log-log graph." However, the OP was giving a rough approximation in the first place, in saying that all natural distributions follow a Gaussian curve. But Gaussian curves go from -∞ to +∞. Many of the real-world distributions must only have positive values, like heights and weights. Although for real-world purposes, they can usually be approximated as…
For a while though, it was en vogue to find power law distributions in all sorts of weird places (email response times, numbers of friends), and that's what I was attempting to object to!